Evidence map›Paper›PMID 32702465›Full record

ArticleThe Journal of hospital infection2020

SARS-CoV-2 infection among healthcare workers in a hospital in Madrid, Spain.

I Suárez-García, M J Martínez de Aramayona López, A Sáez Vicente, P Lobo Abascal

Abstract read
In one paragraph

Article in The Journal of hospital infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

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  6. [Occupational disease by COVID-19 in healthcare workers].Revista medica del Instituto Mexicano del Seguro Social · 2023
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  16. Acute SARS-CoV-2 infection and seropositivity among healthcare workers and medical students in summer 2020, Hungary.International journal of occupational medicine and environmental health · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

I Suárez-GarcíaInfectious Diseases Group, Department of Internal Medicine, Hospital Universitario Infanta Sofía, FIIB HUIS HHEN Madrid, Spain; Universidad Europea de Madrid, Madrid, Spain. Electronic address: inessuarez@hotmail.com.
M J Martínez de Aramayona LópezServicio de Prevención Mancomunado de Grupo, Hospital Universitario Infanta Leonor, Madrid, Spain.
A Sáez VicenteDepartment of Dermatology, Hospital Universitario Infanta Sofía, Madrid, Spain.
P Lobo AbascalUniversidad Europea de Madrid, Madrid, Spain; Department of Obstetrics and Gynaecology, Hospital Universitario Infanta Sofía, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare workers (HCWs) are especially vulnerable to infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

aimThe aim of this study was to describe the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) among HCWs from February 24

methodsThis was a retrospective cohort study. Cumulative COVID-19 incidence was calculated for all HCWs and categorized according to presumed level of COVID-19 exposure (high, medium, and low).

findingsAmong 1911 HCWs, 213 (11.1%) had COVID-19 during the study period. Cases increased gradually from March 8

conclusionThe results suggest that HCW-HCW transmission accounted for part of the cases. In spite of a low prevalence of comorbidities and a mild clinical course in most cases, COVID-19 caused long periods of sick leave.

Indexed as

AdultCoronavirus InfectionsCOVID-19FemaleHealth PersonnelHumansInfectious Disease Transmission, Patient-to-ProfessionalMaleMiddle AgedOccupational ExposurePandemicsPneumonia, ViralPrevalenceRetrospective StudiesSevere Acute Respiratory SyndromeSpainCOVID-19Health personnelHospital infectionsInfection control

Identifiers

PMID32702465
PMCPMC7371579

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.